Negotiable
Undetermined
Hybrid
London Area, United Kingdom
Summary: The Business Data Analyst role involves building and maintaining data pipelines, developing dashboards, and performing analyses to provide actionable insights for business improvement. The position requires collaboration with cross-functional teams and the use of AI tools to enhance reporting and analytics. This hybrid role is based in London and is expected to last until October 2026. Candidates should have extensive experience in data analytics and a strong technical skill set.
Key Responsibilities:
- Build and maintain scalable data pipelines, ensuring data integrity and governance across international markets
- Develop intuitive dashboards and reports to deliver actionable business insights
- Perform deep-dive analysis to identify customer pain points and operational inefficiencies
- Support A/B testing and experimentation to drive continuous improvement
- Leverage AI tools to automate reporting and enhance predictive analytics
- Collaborate with cross-functional teams and communicate insights to stakeholders
Key Skills:
- Strong SQL expertise for data extraction and transformation
- Experience with visualization tools (Tableau, Qlik, or similar)
- Knowledge of big data platforms such as Snowflake, Databricks, or Spark
- Proficiency in Python or R (preferred)
- Understanding of statistical analysis and experimentation methods
- Strong problem-solving and stakeholder communication skills
- 8+ years of experience in Data Analytics or Data Science
- Experience in customer success, operations, or digital experience domains preferred
- Exposure to AI/ML or Generative AI is a plus
- Bachelor’s or Master’s degree in a quantitative field (preferred)
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Job Title: Business Data Analyst
Location: London, UK (Hybrid – 3 days onsite)
Duration: Until October 2026
Responsibilities:
- Build and maintain scalable data pipelines, ensuring data integrity and governance across international markets
- Develop intuitive dashboards and reports to deliver actionable business insights
- Perform deep-dive analysis to identify customer pain points and operational inefficiencies
- Support A/B testing and experimentation to drive continuous improvement
- Leverage AI tools to automate reporting and enhance predictive analytics
- Collaborate with cross-functional teams and communicate insights to stakeholders
Skills:
- Strong SQL expertise for data extraction and transformation
- Experience with visualization tools (Tableau, Qlik, or similar)
- Knowledge of big data platforms such as Snowflake, Databricks, or Spark
- Proficiency in Python or R (preferred)
- Understanding of statistical analysis and experimentation methods
- Strong problem-solving and stakeholder communication skills
Qualifications:
- 8+ years of experience in Data Analytics or Data Science
- Experience in customer success, operations, or digital experience domains preferred
- Exposure to AI/ML or Generative AI is a plus
- Bachelor’s or Master’s degree in a quantitative field (preferred)
If you are interested kindly share your updated CV on manjusha.kumaran@empresaria.com Let's connect to discuss more.